Mahsa Salehi

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 72 citations into it
• Signal Processing — 42 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it

Whom Mahsa Salehi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Albert Bifet
2. Paul E. Utgoff
3. Geoff Hulten
4. Ricard Gavaldà

Papers from Mahsa Salehi's perspective

Ordered by how strongly the researchers Mahsa Salehi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
2. Mining high-speed data streams
3. ImageNet classification with deep convolutional neural networks
4. New ensemble methods for evolving data streams
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Mining time-changing data streams
7. Adaptive Learning from Evolving Data Streams
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. Activity recognition using cell phone accelerometers (SKDD)

Their papers

• Deep Learning for Time Series Anomaly Detection: A Survey (2022) — 636 citations
• Extremely Fast Decision Tree (2018) — 179 citations